Business have been moving to a cloud operating model for the better part of two decades, but the term “cloud” has been continuously evolving. Early cloud deployments were akin to hosted services where a business would “lift and shift” a workload to an offsite location. For the past decade or so, cloud has been defined by public clouds, where businesses would deploy data and/or workloads in a hyper-scaler such as AWS, Azure, or GCP.
It’s only recently that digital twin technology has been implemented in software testing – and it’s offering some significant advantages.
The simplest definition of a digital twin is a virtual representation of an object or a system that uses real world data to create simulations, typically with the help of artificial intelligence and machine learning.
Juniper Networks today announced several new features and products that bolster its AI-driven networking capabilities. The company has extended its Mist technology to operate across the wired network, data center and, most recently, SD-WAN.
The IT pro’s job today is significantly more difficult than it was just a few years ago. IT complexity has grown disproportionately, even as we’ve seen slower budget and staffing increases. At the same time, digital transformation projects need staff time.
Many technology vendors have used artificial intelligence to transform their products. This is evident in areas like unified communications, contact centers and cybersecurity.
Yet one area of IT that has yet to see AI play a significant impact is the network. AI has been used to improve basic management functions but has yet to transform network operations.